UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 3 Issue 9
October-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1609016


Registration ID:
160415

Page Number

89-91

Share This Article


Jetir RMS

Title

Big Data Prediction using Evolutionary Techniques: A survey

Abstract

Big Data is an emerging concept that describes innovative techniques and technologies to analyze large volume of complex data sets that are exponentially generated from various sources and with various rates. Big Data analytics, since dealing with Big Data are big challenges for the applications. Big Data analytics is the ability of extracting useful information from such huge data sets. Predictive analytics is one of types of big data analytics which is learns from experience and predict the future behavior or patterns. This paper presents a review on prediction based evolutionary algorithms which identifies the relevant accurate algorithm based on problem.

Key Words

Big Data, Big Data Analytics, Big Data prediction, Machine learning algorithms

Cite This Article

"Big Data Prediction using Evolutionary Techniques: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 9, page no.89-91, October-2016, Available :http://www.jetir.org/papers/JETIR1609016.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Big Data Prediction using Evolutionary Techniques: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 9, page no. pp89-91, October-2016, Available at : http://www.jetir.org/papers/JETIR1609016.pdf

Publication Details

Published Paper ID: JETIR1609016
Registration ID: 160415
Published In: Volume 3 | Issue 9 | Year October-2016
DOI (Digital Object Identifier):
Page No: 89-91
Country: trichy, tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003194

Print This Page

Current Call For Paper

Jetir RMS